Staff Data Scientist, EGRI at LinkedIn
Sunnyvale, CA
$144,000–$236,000from the description
Aug 12, 2026
Sunnyvale, CA
Sep 24, 2026
What this job asks for AI summary
A senior-level data science role on LinkedIn's Economic Graph team, focused on understanding global workforce trends and member behavior through large-scale data analysis, experimentation, and machine learning. The role involves partnering with cross-functional teams to shape product and business strategy, designing and analyzing A/B experiments, building dashboards and metrics, and mentoring junior data scientists. Strong candidates will combine statistical modeling expertise with the ability to communicate insights to executive audiences.
Senior level · 5+ years · San Jose-Sunnyvale-Santa Clara, CA · Bachelor's required · Full-time
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 420 people in the San Jose-Sunnyvale-Santa Clara, CA area plausibly meet what this posting asks for (data scientists). range 320–550
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $189,150 (middle half $152,859–$224,286). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Aug 15, 2026. It is a model, not a headcount.
Why we read it this way (6)
The title carries no explicit seniority level, but the requirements — 5+ years of experience, mentoring responsibilities, leading large-scale strategic projects, and acting as a thought partner to senior leaders — support a Senior classification.
Python, R, and Scala are listed as interchangeable options ('at least one programming language'); Python is named separately in the Suggested Skills section and is the most common choice, so it is listed as the primary with R and Scala as alternatives.
Statistical modeling is required via 'experience in applied statistics and statistical modeling in at least one statistical software package' — no specific package is named, so no alternatives are listed.
Unix/shell and Git appear only under Preferred Qualifications, as does experience with government/third-party data APIs and mentoring in an official capacity.
Machine learning is referenced in the responsibilities narrative ('develop deep-dive analyses and machine learning models') but does not appear as a hard gate in the qualifications section.
The alt SOC (15-2031 Operations Research Analysts) reflects the economic analysis and workforce-insights framing of the Economic Graph team; however, the ML modeling, experimentation, and data science framing make 15-2051 the stronger fit.
Read the full posting
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